The Impact of Recommendation Adoption System, Inventory Management System, and Process Innovation on Firm Performance

Abstract

Artificial Intelligence is no longer a buzz word, it is everywhere, and we are using its applications almost in all sectors. This research focuses on reviewing the applications of Artificial Intelligence and its derivatives like Machine Learning and Analytics in Supply Chain Management. There are dozens of applications of AI which are currently in mature stage and industries are using them in Supply Chain Operations. The first part of the research covers most of the application of AI in Supply Chain Management. Moreover, three applications are investigated in second part and their impact on firm performance is measured. Those three applications are recommendation adoption system (which provides run time recommendation through past data), Inventory Management System (Which manages whole inventory, and modules includes AI for planning and forecasting), and Process innovation (Which measures how innovation or using latest Tech will create impact). Together, all these three applications’ s impact on firm performance is measured and it shows a positive result. The sector which is considered for doing this research is E- Commerce Sector.